Literature DB >> 15176871

Development and validation of a kinetic model for enzymatic saccharification of lignocellulosic biomass.

Kiran L Kadam1, Eric C Rydholm, James D McMillan.   

Abstract

A multireaction kinetic model was developed for closed-system enzymatic hydrolysis of lignocellulosic biomass such as corn stover. Three hydrolysis reactions were modeled, two heterogeneous reactions for cellulose breakdown to cellobiose and glucose and one homogeneous reaction for hydrolyzing cellobiose to glucose. Cellulase adsorption onto pretreated lignocellulose was modeled via a Langmuir-type isotherm. The sugar products of cellulose hydrolysis, cellobiose and glucose, as well as xylose, the dominant sugar prevalent in most hemicellulose hydrolyzates, were assumed to competitively inhibit the enzymatic hydrolysis reactions. Model parameters were estimated from experimental data generated using dilute acid pretreated corn stover as the substrate. The model performed well in predicting cellulose hydrolysis trends at experimental conditions both inside and outside the design space used for parameter estimation and can be used for in silico process optimization.

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Year:  2004        PMID: 15176871     DOI: 10.1021/bp034316x

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  19 in total

1.  Kinetic modeling of rapid enzymatic hydrolysis of crystalline cellulose after pretreatment by NMMO.

Authors:  Mahdi Khodaverdi; Azam Jeihanipour; Keikhosro Karimi; Mohammad J Taherzadeh
Journal:  J Ind Microbiol Biotechnol       Date:  2011-11-04       Impact factor: 3.346

2.  Flexible biorefinery for producing fermentation sugars, lignin and pulp from corn stover.

Authors:  Kiran L Kadam; Chim Y Chin; Lawrence W Brown
Journal:  J Ind Microbiol Biotechnol       Date:  2008-02-14       Impact factor: 3.346

3.  Enzyme kinetics of cellulose hydrolysis of Miscanthus and oat hulls.

Authors:  Ekaterina I Makarova; Vera V Budaeva; Aleksey A Kukhlenko; Sergey E Orlov
Journal:  3 Biotech       Date:  2017-09-14       Impact factor: 2.406

4.  Using an artificial neural network to predict the optimal conditions for enzymatic hydrolysis of apple pomace.

Authors:  Repson Gama; J Susan Van Dyk; Mike H Burton; Brett I Pletschke
Journal:  3 Biotech       Date:  2017-06-08       Impact factor: 2.406

Review 5.  A review on commercial-scale high-value products that can be produced alongside cellulosic ethanol.

Authors:  Oscar Rosales-Calderon; Valdeir Arantes
Journal:  Biotechnol Biofuels       Date:  2019-10-08       Impact factor: 6.040

6.  Hypocrea jecorina CEL6A protein engineering.

Authors:  Suzanne E Lantz; Frits Goedegebuur; Ronald Hommes; Thijs Kaper; Bradley R Kelemen; Colin Mitchinson; Louise Wallace; Jerry Ståhlberg; Edmundo A Larenas
Journal:  Biotechnol Biofuels       Date:  2010-09-08       Impact factor: 6.040

7.  Impact of pretreatment and downstream processing technologies on economics and energy in cellulosic ethanol production.

Authors:  Deepak Kumar; Ganti S Murthy
Journal:  Biotechnol Biofuels       Date:  2011-09-05       Impact factor: 6.040

8.  Kinetic study of batch and fed-batch enzymatic saccharification of pretreated substrate and subsequent fermentation to ethanol.

Authors:  Rishi Gupta; Sanjay Kumar; James Gomes; Ramesh Chander Kuhad
Journal:  Biotechnol Biofuels       Date:  2012-03-20       Impact factor: 6.040

9.  Validation and selection of ODE based systems biology models: how to arrive at more reliable decisions.

Authors:  Dicle Hasdemir; Huub C J Hoefsloot; Age K Smilde
Journal:  BMC Syst Biol       Date:  2015-07-08

10.  Stochastic molecular model of enzymatic hydrolysis of cellulose for ethanol production.

Authors:  Deepak Kumar; Ganti S Murthy
Journal:  Biotechnol Biofuels       Date:  2013-05-02       Impact factor: 6.040

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